The Future of Agentic Commerce w Illia Polosukhin

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   I want to talk about future of agend Commerce kind of introduce the idea and give you some of the demos as an update from what we presented at redacted so one of the kind of you know main stories that I've been talking about probably for past year and a half is that AI is this final platform shift right we're transitioning from what effectively became our Norm right with mobile apps and applications and websites to really this new plane where

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   AI becomes your interface to internet to services and goods to really each other right like that's the change and uh just as a side note movie Her was set in 2025 so we're kind of living it now and the important part here is that as this is happening more and more of you who you are are going to be facilitated by that AI right and right now the AIS are provided by you know different companies and those companies always will have kind of their own profit their own value

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   kind of uh first and so the idea that we've introduced over a year ago have been user owned AI is really how do we bring AI in such a way that it is on your side it's not really uh trying to maximize revenue and profit for some company but actually maximizes your individual well-being and your individual economic success right this really builds up on kind of user own internet you know maintaining full ownership of your data assets and Power of Choice that we've been always talking about this near but also adding this

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   idea that AI will be your Universal interface and through that interface it needs to really be the facilitator and also you know firewall in many ways of how you interactive as internet right how you interactive as Computing and Global Market and this needs to be built in such a way that everybody can benefit from right uh economically you know the developers who build this the services who participate in this uh ecosystem and the users right if they're willing to share their data and uh kind of want to

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   receive something in return so that's kind of user on AI we've been kind of introducing different parts of the stack it's not you know as simple like cool it's done it's really required a ton of work from the whole ecosystem now one of the concepts we introduced at redacted have been this idea of an assistant right something that you know you traditionally associate maybe with chat GPT but the

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   thing is like chat GPT doesn't really do things for you right it usually responds it gives you information uh they added like few different features but it's mostly just an informational uh kind of plane but we envision this assistant to be really able to act on your behalf in in web two and web 3 right it has all the context about you and be and being able to you know kind of sometimes and pick actions directly sometimes surface it to you

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   depending on um kind of uh complexity but also it's able to now make decisions and you know scavenge the Earth and internet to find the right choice right option for you right so meaning it will connect directly to other AI assistants to other agents uh that are you know representing services and that are repr presenting um other people so one of the points that you know if you've been here a year ago uh I've been

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   talking about chain abstraction right and for crypto that's probably one of the main pain points like there's a ton of chains more chains launched over the past year there's a ton of kind of different applications now everywhere and becoming harder and harder to use all of this and so chain abstraction we've been kind of introducing this idea uh since the end of 23 to really allow everyone to use in a straightforward way

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   all of this applications and all of the chains and you know there's a ton of teams in the Neo ecosystem have done tremendous progress I mean hod was just talking with Peter uh is showing you know more and more exciting things there but the kind of Next Step Beyond that right is going to be AI as a final chain obstruction it's going to be effectively on your behalf executing different

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    actions across different chains across different appliations and you will not even know uh sometimes like the details of that because it doesn't really matter right that's kind of you know you you come to the talks uh to learn what is going to happen in a year right so this is kind of the idea this is where the whole Space is going to be going so just to give you like a visual

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    example right your assistant effectly on the background will be you know doing different actions right I was uh you know planning to come here so it you know will be fine what is the best uh like uh when to buy the tickets for me for the travel um on the background it will you know oh I I like metal concerts so uh finding the metal concert as soon as it opens up buy the ticket for it and uh you know rebalance my uh uh stable coin in different uh in different

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    borrowing markets based on different apis as they changing right again you don't need to go and manually change this you don't even need to do it through wallet where it's now easier so kind of chain obstruction but actually it will just do it on your on behalf because it knows that's the action you would take if it was yourself so that's kind of the idea kind of where we're going right it's a number of Agents effec on the back end working on your

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    behalf uh executing different actions and your assistant coordinating this and really you know surfacing all of this and augmenting it with your context so what do we need to do to actually enable this future right uh well if you've seen any of my presentations there's always a stack so uh this is a stack to enable that uh first and foremost we need to make sure that all of this is confidential and secure right effectively right now when

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    you're using any of the AI models right you have giving all your data to some company um which you know may or may not handle it very carefully uh there have been you know leaks and you know people have accessed other people's data uh and different AI assistants and importantly you know as you putting more and more of your context right maybe this is your medical records your banking information so you can actually

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    do automatic taxes maybe it is actually listening to every second of your life because now that's a full context to enable the best predictions well you don't want that to be owned by anyone you don't want it to go to anywhere right so it's extremely important that this is all fully confidential and every single action is secured now as this kind of agentic netor work you know

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    growing it needs to have a hosting platform where all this agents will live uh we need a way to share the data share them kind of user information so different agents can interact on this and uh youri system is able to uh really leverage it you need to have a way for your assistant to find what are the agents out there so agent Discovery and finally all those agents you know they

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    are as we said importantly making money so there needs to be a payment system so so one of the things we've been working on is So-Cal decentralized confidential machine learning cloud right so this is I mean if you've seen my Twitter I talk about tees a lot this is the idea that we can actually run the machine learning models like the llm models as well as any other model inside

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    the secure Enclave The Trusted execution environment in such a way that you have very little overhead uh on the execution and everything is end to end confidential right not person who runs the hardware not developers not the model builder are able to access what happens inside This Confidential VM and so and so around this you can build a whole Cloud where you have you know uh confidential VMS with gpus and uh without that actually can run agent code that runs inference

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    on different models and all of this is enter encrypted you need kind of unchain payments and registry to coordinate all this and uh all of this kind of enables uh this confidentiality I'm not going to go too much into this because it's a agent Commerce stock but uh this is kind of one of the fundamental blocks to enable this now agent hosting we introduced in uh at redacted and since then we've launched uh few hackathons which uh people kind of continuously building

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    more agents really exciting to see over 475 agents now build here obviously there's a lot of uh example agents there's uh now platform that builds agents itself and uh this is actually the you know think of this as your application store right where each agent is a you kind of some capability or uh uh new information or a new way to use uh your user data to execute things right this can be anything from a product manager agent to

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    an agent that helps you uh with shopping so if you haven't seen it go to EP near there's a way to create agents and uh this kind of platform contines to evolve so every agent here will be hosted inside secure enclaves and so you're able to kind of interact and transact with them uh in a privacy way now what we releasing today is a agent interaction and transaction protocol so this is uh kind of the protocol to enable uh agents to actually

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    not just talk to each other which and not just call tools but support payments support transactions support exchanging information right and this is extensible standard right this is kind of a new way you know think of this HTTP which enables agents now to communicate to each other in a structured way and it it has kind of capabilities as extensions you can introduce new ones um as a developer and you know again think of them as headers in HTTP for developers

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    in a room where you can keep adding more functionality to it and leveraging it for a structured interaction between agents it also supports not just you know one oneon-one agent you can have a whole group of Agents talking together in one effectively chat group and interacting they can add new new agents into this uh thread and uh kind of provide you a whole host of kind of capabilities to really create this kind

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    of future where agents are now doing things on the background and you are not really uh directly interactive with this so this is pretty abstract uh I real I and you know so is my many of my talks and uh let's see if we can get a demo going cool so this is demo um so and their way to play it okay I guess all right so this is demo where uh first of all you can check out the specific agent we're going to use which is sound Sage it's an expert in buying audio

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    equipment and so it's deployed already on the kind of agent hosting platform and now you're going to actually not directly talk to it you don't even maybe know it exists instead you're talking to your assistant right this is a assistant that will navigate all of your kind of Internet applications and agent needs and so you go and you say hey I want to shop for you know green headphones it

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    itself has some information already right it's you know it's an AI model it has contacts it can actually fetch data uh potentially from other places and so uh it gives you a quick response from that but you can say like no I actually want you know some cheaper agent cheaper headphones and so what happens here you see this like two uh I scroll through this but there was a message effectively a sub thread created where a sound Sage agent was called and then the sage sound

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    Sage agent replied back with a whole selection of products uh to choose from and so user selected them and then uh you know as like add pretty much uh initiated by flow which ask them for uh address where to send it again this was communicated to the S Sage agent and uh you get effectively a payment uh request and so this payment request you know asking for $1 which you can now pay with your uh kind of meteor wallet with your

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    stable coins um and uh this itself will effectively pay the agent which will receive this money and then the agent itself will go in uh use Amazon API to actually ship you the headphones and you get an order ID that you can now you know track and so this conversation itself right is an example of kind of aitp interaction where some some of this was a natural language some of this was a structured data right uh

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    you know specific information to select from products payment requests um uh information exchange for address and all of that was actually done by your assistant in a sub thread with the agent where you just kind of interacting directly with your assistant again you don't even know there is another agent involved uh we kind of show those sub threads only in the developer side on kind of user side you will not even see

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    that so that's kind of the experience that we're going after right where your assistant effectively can go now and find specific um agents who know who have specific skills talk to them inform them maybe with some of your context with information that you have uh if we actually go to NE can we go back to slides yeah so um yeah so like you as a user you go to your assistant your assistant then uh using you know your

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    memory can either respond directly uh maybe can use some other tools uh or can go to a discovery agent and ask it you know which agents would be useful to reply to this request Discovery agent itself has an index of all agents that are hosted in the platform we also want to have actually a Federated model where other agents as well will be contributed to this index and in uh this discovery agent effectively says Hey sound sage and this shopping assistant are useful

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    agents for this request let me add you add them to the thread with the user right and kind of remove myself and so then those agents can now reply with you know structured information with maybe clarifying questions maybe with uh you know request for payment or any other kind of interaction like this agents can be effectively uh you know you're rebalancing uh uh lending Market agent that now runs every hour to rebalance your portfolio right this can be any any

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    agent now can run and your assistant is kind of coordinating them so that's the idea of kind of aitp to really interconnect all the agents and then Discovery to help find uh where are specialized agents in the in the ecosystem so to kind of link it back all of this you know um built on top of all of the blockchain infrastructure we've been building at near right uh obviously I mean if you've been here before you've uh heard from you know boen to continue scaling the blockchain really need to enable it to

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    handle you know more and more payment requests more and more inter interchain requests uh agents that have their hosting we have shade agents where like you have Smart contract and the kind of this te hosting platform interacting together we have a chain abstraction Tech which you know is combination of chain signatures and intend to really enable uh this kind of really um simple interaction you know for example you got

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    onboarded uh on base with usdc and you want to pay for something that's in salana right all of that gets you know completely abstracted out you don't even need to think about this and finally the te infrastructure that I talked about is cloud that really enables to run effectively anything in verifiable confidential way but specifically machine learning AI loads so that kind of like a multi-purpose you know protocol that we've been building with

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    near over past you know years to really enable this Vision uh and really interconnected pieces and we're going to do a whiteboard to actually explain how all of this fits um now it's not just kind of near you know near I building this there's a ton of teams building like some of them are here uh contributing there's a lot more Partners as well uh that didn't fit on the slide so really exciting to see kind of all of

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    this community coming together and building now I just want to finish on this last thought which is this is kind of a massive shift in how everything is done in your life right like you go from you know hey I have you know dozens of apps that I'm using I'm using you know my credit cards everywhere to really this kind of platform shift that enables among other things to kind of really power everything with Crypt rails but importantly to transition to effectively

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    a single interface that's on your side that's not trying again you go to google.com google.com is trying to make money of you right you're you're the product you're not the user uh the users are advertisers and uh and so this is kind of the platform should we see and that itself right right now that economy itself is a$1 trillion dollar of um kind of a year of business opportunity to

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    really transition into uh kind of this new AI Commerce and user own internet so I'm really excited we're making progress there's a ton of pieces kind of coming together uh it been a lot of kind of building out this protocols and systems to enable this but we are now uh see this kind of in production we have this you know first agents really making real actions in the world we have Partnerships coming together to enable this so really exciting stay tuned I mean stay for the white board to explain

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    how some of the tech works thank you you want know